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A Bibliometric Study and Science Mapping Research of Intelligent Decision

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Abstract

Intelligent decision (ID) has received a great deal of attention and has been integrated into various fields, such as machine learning, fuzzy inference system, and natural language processing. The advanced technologies have become hot topics and have been made great development and innovations in academic documents. This paper is a comprehensive review in the field of ID based on bibliometric analysis and strategic analysis. First, the descriptive statistics and results are presented, including database, annual publications, research directions, and hotspots. Based on the visualization tools (including VOS viewer, CiteSpace, Bibexcel, and GPS visualizer), from the perspective of the author keyword, the current research topics, and the development evolution are presented. Some bibliometric analysis methods are applied, such as co-occurrence analysis, timeline view analysis, and burst detection analysis. Then, this paper identifies the most influential countries/regions, institutions, and authors. Next, some important themes are further discussed by strategic analysis and overlapping analysis. This paper helps scholars with understanding the development trajectory and statistical model of ID research to promote in-depth exploration.

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Funding

This work was funded by the National Natural Science Foundation of China under Grants 72071135 and 71771155.

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Authors and Affiliations

  1. College of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, 310018, China

    Bo Li

  2. Business School, Sichuan University, Chengdu, 610064, China

    Zeshui Xu & Nan Hong

  3. Edinburgh Napier University, Edinburgh, UK

    Amir Hussain

Authors
  1. Bo Li
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  2. Zeshui Xu
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  3. Nan Hong
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  4. Amir Hussain
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Contributions

All the authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Bo Li and Zeshui Xu. The first draft of the manuscript was written by Bo Li and Nan Hong, and all the authors commented on the previous versions of the manuscript. All the authors read and approved the final manuscript.

Corresponding author

Correspondence to Zeshui Xu.

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Li, B., Xu, Z., Hong, N. et al. A Bibliometric Study and Science Mapping Research of Intelligent Decision. Cogn Comput 14, 989–1008 (2022). https://doi.org/10.1007/s12559-022-09993-3

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  • DOI: https://doi.org/10.1007/s12559-022-09993-3

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